/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | extract_image_patches_op.cc | 32 OP_REQUIRES_OK(ctx, ctx->GetAttr("rates", &dilations_)); in ExtractImagePatchesOp() 49 OP_REQUIRES(ctx, dilations_.size() == num_dims, in Compile() 66 ctx, dilations_[batch_dim] == 1 && dilations_[feature_dim] == 1, in Compile() 76 dilations_[input_dim])); in Compile() 80 dilations_[input_dim])); in Compile() 81 OP_REQUIRES(ctx, dilations_[input_dim] >= 1, in Compile() 84 dilations_[input_dim])); in Compile() 139 rhs_dilation[i] = dilations_.at(dim); in Compile() 157 std::vector<int32> dilations_; member in tensorflow::__anon65d92ac10111::ExtractImagePatchesOp
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/external/tensorflow/tensorflow/core/kernels/ |
D | mkl_conv_ops.h | 54 std::vector<int32> dilations_; variable 64 dilations_(dilations), in context_() 92 if (dilations_.size() == 4) { in GetDilationsInMklOrder() 93 int dilations_rows = GetTensorDim(dilations_, data_format_, 'H'); in GetDilationsInMklOrder() 94 int dilations_cols = GetTensorDim(dilations_, data_format_, 'W'); in GetDilationsInMklOrder() 96 } else if (dilations_.size() == 5) { in GetDilationsInMklOrder() 97 int dilations_planes = GetTensorDim(dilations_, data_format_, '0'); in GetDilationsInMklOrder() 98 int dilations_rows = GetTensorDim(dilations_, data_format_, '1'); in GetDilationsInMklOrder() 99 int dilations_cols = GetTensorDim(dilations_, data_format_, '2'); in GetDilationsInMklOrder() 571 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations_)); in MklConvBackpropCommonOp() [all …]
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D | conv_grad_filter_ops.cc | 220 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations_)); in Conv2DCustomBackpropFilterOp() 221 OP_REQUIRES(context, dilations_.size() == 4, in Conv2DCustomBackpropFilterOp() 224 OP_REQUIRES(context, (dilations_[0] == 1 && dilations_[3] == 1), in Conv2DCustomBackpropFilterOp() 229 OP_REQUIRES(context, (dilations_[1] == 1 && dilations_[2] == 1), in Conv2DCustomBackpropFilterOp() 402 std::vector<int32> dilations_; member in tensorflow::Conv2DCustomBackpropFilterOp 464 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations_)); in Conv2DSlowBackpropFilterOp() 465 OP_REQUIRES(context, dilations_.size() == 4, in Conv2DSlowBackpropFilterOp() 468 int dilation_n = GetTensorDim(dilations_, data_format_, 'N'); in Conv2DSlowBackpropFilterOp() 469 int dilation_c = GetTensorDim(dilations_, data_format_, 'C'); in Conv2DSlowBackpropFilterOp() 470 int dilation_h = GetTensorDim(dilations_, data_format_, 'H'); in Conv2DSlowBackpropFilterOp() [all …]
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D | conv_grad_input_ops.cc | 289 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations_)); in Conv2DCustomBackpropInputOp() 290 OP_REQUIRES(context, dilations_.size() == 4, in Conv2DCustomBackpropInputOp() 293 OP_REQUIRES(context, (dilations_[0] == 1 && dilations_[3] == 1), in Conv2DCustomBackpropInputOp() 298 OP_REQUIRES(context, (dilations_[1] == 1 && dilations_[2] == 1), in Conv2DCustomBackpropInputOp() 536 std::vector<int32> dilations_; member in tensorflow::Conv2DCustomBackpropInputOp 601 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations_)); in Conv2DSlowBackpropInputOp() 602 OP_REQUIRES(context, dilations_.size() == 4, in Conv2DSlowBackpropInputOp() 605 int dilation_n = GetTensorDim(dilations_, data_format_, 'N'); in Conv2DSlowBackpropInputOp() 606 int dilation_c = GetTensorDim(dilations_, data_format_, 'C'); in Conv2DSlowBackpropInputOp() 607 int dilation_h = GetTensorDim(dilations_, data_format_, 'H'); in Conv2DSlowBackpropInputOp() [all …]
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D | mkl_conv_ops.cc | 862 OP_REQUIRES_OK(context, context->GetAttr("dilations", &dilations_)); in MklConvOp() 887 OP_REQUIRES(context, dilations_.size() == 4, in MklConvOp() 890 const int64 dilation_n = GetTensorDim(dilations_, data_format_, 'N'); in MklConvOp() 891 const int64 dilation_c = GetTensorDim(dilations_, data_format_, 'C'); in MklConvOp() 892 const int64 dilation_h = GetTensorDim(dilations_, data_format_, 'H'); in MklConvOp() 893 const int64 dilation_w = GetTensorDim(dilations_, data_format_, 'W'); in MklConvOp() 902 OP_REQUIRES(context, dilations_.size() == 5, in MklConvOp() 906 (GetTensorDim(dilations_, data_format_, 'N') == 1 && in MklConvOp() 907 GetTensorDim(dilations_, data_format_, 'C') == 1), in MklConvOp() 913 (GetTensorDim(dilations_, data_format_, '0') > 0 && in MklConvOp() [all …]
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D | mkl_conv_grad_input_ops.cc | 367 this->data_format_, this->dilations_); in Compute()
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D | mkl_conv_grad_filter_ops.cc | 431 this->data_format_, this->dilations_); in Compute()
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